PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on survival, functional outcomes, and quality of life in men with persistent prostate-specific antigen (PSA >0.1 ng/mL) after a robot-assisted radical prosta...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pelvic cavity measurement, in patients undergoing robot-assisted radical prostatectomy (RARP). We defined PMI as the 'distance between the inner edge of...
The interpretation of conventional MRI may be limited by the two-dimensional presentation of the images. To develop patient-specific MRI prostate-based virtual and three-dimensional (3D)-printed models. To assess the association between 3D imaging an...
PURPOSE: To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy (RARP) compared to a no-3D control group. Secondarily, we evaluated the postoperative functional and...
Malignancies and diseases of various genetic origins can be diagnosed and classified with microarray data. There are many obstacles to overcome due to the large size of the gene and the small number of samples in the microarray. A combination strateg...
OBJECTIVE: We aimed to compare the deep learning-based (VSBONE BSI) and atlas-based (BONENAVI) segmentation accuracy that have been developed to measure the bone scan index based on skeletal segmentation.
OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior benign prostatic hyperplasia (BPH) surgery and perioperative functional, and oncological outcomes in high-risk (HR) prostate cancer (PCa) patients tre...
We performed a retrospective comparison of surgical, oncologic, and functional outcomes after robot-assisted radical prostatectomy between patients who have undergone prior transurethral resection of prostate (TURP) to TURP-naive patients. Past rob...
BACKGROUND: To date, robotic surgery in urology is well established all over the world. The newest platform on the market is the HUGO™ RAS system, developed by Medtronic. In this paper we provide a brief description of the system and describe our sys...
PURPOSE: To assess the possibility of reducing the image acquisition time for diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) by denoising with deep learning-based reconstruction (dDLR).